Documentation scienceplus.abes.fr version Bêta

À propos de : Predicting a biliary aetiology in paediatric acute pancreatitis        

AttributsValeurs
type
Is Part Of
Subject
Title
  • Predicting a biliary aetiology in paediatric acute pancreatitis
has manifestation of work
related by
Abstract
  • Objective. Acute biliary pancreatitis (ABP) is a common cause of pancreatitis which may require timely intervention. We aimed to identify routine laboratory parameters for early prediction of biliary aetiology in paediatric acute pancreatitis (AP). Design. A retrospective review of children with AP (January 2000-July 2011) was performed at two tertiary paediatric hospitals in New South Wales, Australia. Predictors of ABP using laboratory parameters (measured within 48 h of presentation) were determined using a multivariate logistic regression model and evaluated. Results. Of the 131 pancreatitis episodes reviewed, 21 (16%) were biliary-related. Raised serum lipase, alkaline phosphatase, γ-glutamyl transpeptidase (GGT), alanine aminotransferase (ALT) and aspartate aminotransferase were associated with biliary aetiology (all p<0.0016) on univariate analysis. In multiple logistic regression, serum GGT ≥40 U/L, ALT ≥150 U/L, and lipase ≥15×the upper limit of normal (ULN) were predictive of ABP. To improve clinical applicability, the predictive performance when at least two of the three ABP predictors (coined the ‘biliary pancreatitis triad’) were satisfied was evaluated. The triad performed with a specificity, sensitivity, positive predictive value and negative predictive value of 95, 89, 76 and 98%, respectively. Conclusions. The biliary pancreatitis triad of serum GGT ≥40 U/L, ALT ≥150 U/L and lipase ≥15×ULN within 48 h of presentation may be used as simple clinical predictors of ABP in children. Children with values falling below 2 or 3 of these thresholds are very unlikely to have AP due to a biliary cause.
article type
publisher identifier
  • archdischild-2013-304462
is part of this journal
PubMed ID
  • 24013807



Alternative Linked Data Documents: ODE     Content Formats:       RDF       ODATA       Microdata